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Plotly VS ReportServer

Compare Plotly VS ReportServer and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Plotly logo Plotly

Low-Code Data Apps

ReportServer logo ReportServer

In Reporting Services, URLs are used to access the Report Server Web service and the web portal. Before you can use either application, you must configure at least one URL each for the Web service and the web portal.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • ReportServer Landing page
    Landing page //
    2021-09-15

Plotly features and specs

  • Interactivity
    Plotly offers highly interactive plots that allow users to pan, zoom, and hover over data points for more information. This enhances the user experience and provides deeper insights.
  • High-quality visualizations
    It provides aesthetically pleasing and highly customizable charts, making it suitable for publication-quality visuals.
  • Versatility
    Plotly supports multiple chart types including line charts, scatter plots, bar charts, and 3D plots, making it suitable for a wide range of applications.
  • Python integration
    Plotly is well-integrated with Python and works seamlessly with other popular data science libraries like Pandas, NumPy, and Scikit-learn.
  • Web-based
    The plots can be easily embedded in web applications or dashboards, making it ideal for sharing insights over the internet.
  • Open-source
    Plotly offers an open-source version, which allows users to create and share visualizations without any cost.

Possible disadvantages of Plotly

  • Performance
    Rendering very large datasets can sometimes be slow, which may not be suitable for real-time data visualization requirements.
  • Learning curve
    Even though the library is well-documented, the extensive range of features can have a steep learning curve for beginners.
  • Cost for advanced features
    While the basic functionality is free, more advanced features, such as export to certain formats and additional customizable options, require a paid subscription.
  • Dependency management
    Plotly has a number of dependencies that need to be managed properly, which can sometimes complicate the setup process.
  • Complexity
    For simple visualizations, Plotly might be overkill and simpler libraries like Matplotlib or Seaborn could be more appropriate.

ReportServer features and specs

  • Open Source
    ReportServer is an open-source reporting platform, allowing users to access the source code and modify it to tailor the software to their specific needs without any licensing fees.
  • Multi-Tenancy Support
    The platform supports multi-tenancy, enabling organizations to serve multiple clients from a single instance of the software while keeping data secure and segregated.
  • Flexible Reporting
    ReportServer provides a flexible reporting environment that supports a variety of report types, including pixel-perfect report creation, ad hoc analysis, and dynamic lists.
  • Integration with Various Data Sources
    It offers robust integration capabilities, allowing users to connect to a wide range of data sources, including SQL databases, Excel files, and web services.
  • Role-Based Access Control
    The platform includes comprehensive role-based access control features, providing granular permission settings to assure security and appropriate data access.
  • Community Support
    Being open-source, it has an active community providing support and sharing insights and plugins that can enhance the system's functionality.

Possible disadvantages of ReportServer

  • Complex Setup Process
    The initial setup and configuration can be complex and time-consuming, requiring technical expertise, especially for organizations with specific customization needs.
  • Limited Documentation
    While some documentation is available, it's often perceived as limited or lacking detail, making it challenging for new users to get up to speed quickly.
  • User Interface
    The user interface may be seen as less intuitive and user-friendly compared to some of the modern, commercial reporting tools available on the market.
  • Performance Issues
    Some users have reported performance issues, particularly with larger datasets or complex report designs that can slow down the system.
  • Professional Support Cost
    While the community version is free, professional support services and additional features require a paid enterprise subscription, which could be costly for some organizations.

Analysis of Plotly

Overall verdict

  • Overall, Plotly is a strong choice for those looking to create dynamic and interactive data visualizations, thanks to its range of features and ease of integration with web technologies.

Why this product is good

  • Plotly is considered good because it offers a comprehensive suite of tools for creating interactive visualizations that can be used in web applications, reports, and dashboards. It supports many different types of plots, is easy to use for both beginners and experienced developers, and integrates well with popular programming languages like Python, R, and JavaScript.

Recommended for

    Plotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.

Plotly videos

+ Add

Create Real-time Chart with Javascript | Plotly.js Tutorial

More videos:

  • Review - Introducing plotly.py 3.0
  • Review - Is Plotly The Better Matplotlib?
  • Tutorial - Plotly Tutorial 2021
  • Review - Data Visualization as The First and Last Mile of Data Science Plotly Express and Dash | SciPy 2021

ReportServer videos

+ Add

ReportServer - Simply Business Intelligence

More videos:

  • Review - reportserver 20170521

Category Popularity

0-100% (relative to Plotly and ReportServer)

Plotly

ReportServer

Data Visualization
100 100%
Data Visualization
0% 0
Office & Productivity
0 0%
Office & Productivity
100% 100
Charting Libraries
100 100%
Charting Libraries
0% 0
Business Intelligence
0 0%
Business Intelligence
100% 100

User comments

Share your experience with using Plotly and ReportServer. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Plotly and ReportServer

Plotly Reviews

Best 8 Redash Alternatives in 2023 [In Depth Guide]
Plotly is specifically designed for companies who want to build and deploy analytic applications like dashboards using Python, Julia, or R without needing DevOps or Javascript developers.
Source: www.datapad.io
5 Best Python Libraries For Data Visualization in 2023
Plotly is a web-based data visualization toolkit that comes with unique functionalities such as dendrograms, 3D charts, and also contour plots, which is not very common in other libraries. It has a great API offering scatter plots, line charts, bar charts, error bars, box plots, and other visualizations. Plotly can even be accessed from a Python Notebook.
Source: www.technotification.com
Top 8 Python Libraries for Data Visualization
Plotly is a free open-source graphing library that can be used to form data visualizations. Plotly (plotly.py) is built on top of the Plotly JavaScript library (plotly.js) and can be used to create web-based data visualizations that can be displayed in Jupyter notebooks or web applications using Dash or saved as individual HTML files. Plotly provides more than 40 unique...
Source: www.geeksforgeeks.org
5 top picks for JavaScript chart libraries
Plotly is a graphing library thatโ€™s available for various runtime environments, including the browser. It supports many kinds of charts and graphs that we can configure with a variety of options.
Source: blog.logrocket.com

ReportServer Reviews

We have no reviews of ReportServer yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Plotly seems to be more popular. It has been mentiond 34 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Plotly mentions (34)

  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 4 months ago
  • Python for Data Visualization: Best Tools and Practices
    Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / over 1 year ago
  • Generative AI Powered QnA & Visualization Chatbot
    Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / over 1 year ago
  • Build a Stock Dashboard in less than 40 lines of Python code!๐Ÿค“
    In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / over 1 year ago
  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / about 2 years ago
View more

ReportServer mentions (0)

We have not tracked any mentions of ReportServer yet. Tracking of ReportServer recommendations started around Mar 2021.

What are some alternatives?

When comparing Plotly and ReportServer, you can also consider the following products

D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.

JasperReports - JasperReports Server is a stand-alone and embeddable reporting server.

RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...

Pentaho - Pentaho is a Business Intelligence software company that offers Pentaho Business Analytics, a suite...

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

TeamMate+ - Wolters Kluwer audit solutions provide you visibility across the three lines of defense, consistency throughout your workflow, and efficiency for greater risk management.

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